Evidence map›Paper›PMID 39312242›Full record

ArticleJAMA network open2024

Historical Redlining, Contemporary Gentrification, and Severe Maternal Morbidity in California, 2005-2018.

Xing Gao, Rachel Morello-Frosch, Amani M Nuru-Jeter, Jonathan M Snowden, Suzan L Carmichael, Mahasin S Mujahid

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Neighborhood Racial and Ethnic Segregation and Obesity: A Systematic Review.Journal of racial and ethnic health disparities · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xing GaoDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco.
Rachel Morello-FroschDepartment of Environmental Science, Policy and Management, University of California, Berkeley.
Amani M Nuru-JeterDivision of Community Health Sciences, School of Public Health, University of California, Berkeley.
Jonathan M SnowdenSchool of Public Health, Oregon Health & Science University-Portland State University.
Suzan L CarmichaelDepartment of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Stanford University, Stanford, California.
Mahasin S MujahidDivision of Epidemiology, School of Public Health, University of California, Berkeley.

Funding

Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
Building a causal pathway framework to identify interventions to prevent severe maternal morbidityR01NR020335 · NINR · STANFORD UNIVERSITY · PI CARMICHAEL, SUZAN L · 2021 to 2025
$3.7M
Impact of historical redlining and contemporary gentrification on severe maternal morbidity racial/ethnic disparitiesF31HD106772 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI GAO, XING · 2021 to 2023
$85k
NICHD NIH HHS F31 HD106772NINR NIH HHS R01 NR017020NINR NIH HHS R01 NR020335
6 · The paper itself

Abstract

Importance: Historically redlined neighborhoods may experience disinvestment, influencing their likelihood of gentrification, a process of neighborhood (re-)development that unequally distributes harms and benefits by race and class. Understanding the combined outcomes of redlining and gentrification informs how the mutually constitutive systems of structural racism and racial capitalism affect pregnancy outcomes. Objective: To examine if historical redlining and contemporary gentrification is associated with increased severe maternal morbidity (SMM) odds. Design, Setting, and Participants: This cross-sectional study used data from a statewide population-based sample of all live hospital births at 20 weeks' gestation or more between 2005 and 2018 in California. Analysis was conducted from March 2023 to January 2024. Exposure: Redlining (as characterized by the federal Home Owners' Loan Corporation mortgage security maps) and displacement (using present-day sociodemographic and housing market information). Main Outcomes and Measures: Mixed-effects logistic regression models were used to assess the association of census tract-level exposure to historical redlining and contemporary gentrification with increased SMM odds, adjusting for sociodemographic and pregnancy related factors. Outcome classification was based on the Centers for Disease Control and Prevention SMM index, which defines SMM as having any of the 21 procedures and diagnoses based on the International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Results: The study sample included 1 554 837 births (median [SD] maternal age, 29.0 [6.4] years; 3464 American Indian or Alaskan Native [0.2%], 224 774 Asian [14.5%], 132 240 Black [8.5%], 880 104 Hispanic [56.6%], 312 490 White [20.1%]), with 22 993 cases of SMM (1.4%). Residents in historically redlined neighborhoods that were undergoing gentrification or displacement were more likely to be Black, Hispanic, and American Indian or Alaskan Native. Independent of individual-level characteristics, SMM odds were greater for individuals living in redlined neighborhoods that experienced displacement (OR, 1.21; 95% CI, 1.14-1.28) and in redlined neighborhoods undergoing gentrification (OR, 1.21; 95% CI, 1.13-1.29) compared with those in continuously advantaged neighborhoods. Conclusions and Relevance: Findings from this cross-sectional study demonstrate that the legacies of redlining, intertwined with current dynamics of displacement and gentrification, affect SMM. Place-based sociopolitical mechanisms that inequitably distribute resources may be important intervention points to address structural drivers of adverse pregnancy outcomes and their racial inequities.

Indexed as

Neighborhood CharacteristicsAdultCaliforniaCross-Sectional StudiesFemaleHumansMorbidityPregnancyPregnancy ComplicationsPregnancy OutcomeRacismResidence CharacteristicsResidential SegregationYoung Adult

Identifiers

PMID39312242
PMCPMC11420692

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.